An optimization model to fit airspace demand considering a spatio-temporal analysis of airspace capacity

Nosedal, Jenaro; Piera, Miquel Àngel; Solis, Adriano O.; Ferrer, Carles

doi:10.1016/j.trc.2015.10.011

Cited by 22 publications

(8 citation statements)

References 41 publications

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“…These problems are discussed in Brown et al (2019), Cheung (2018) and González-Arribas et al (2019). A thorough study on the flight planning problem concerning airspace capacity is presented in Bolić et al (2017) and Nosedal et al (2015). Another attempt to formulate a general free route flight planning algorithm is proposed in Krzyżanowski (2013).…”

Section: Related Researchmentioning

confidence: 99%

Regular graph-based free route flight planning approach

Samolej

Dec

Rzońca

et al. 2021

AEAT

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Purpose The purpose of this study is to provide an alternative graph-based airspace model for more effective free-route flight planning. Design/methodology/approach Based on graph theory and available data sets describing airspace, as well as weather phenomena, a new FRA model is proposed. The model is applied for near to optimal flight route finding. The software tool developed during the study and complexity analysis proved the applicability and timed effectivity of the flight planning approach. Findings The sparse bidirectional graph with edges connecting only (geographically) closest neighbours can naturally model local airspace and weather phenomena. It can be naturally applied to effective near to optimal flight route planning. Research limitations/implications Practical results were acquired for one country airspace model. Practical implications More efficient and applicable flight planning methodology was introduced. Social implications Aircraft following the new routes will fly shorter trajectories, which positively influence on the natural environment, flight time and fuel consumption. Originality/value The airspace model proposed is based on standard mathematical backgrounds. However, it includes the original airspace and weather mapping idea, as well as it enables to shorten flight planning computations.

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Section: Related Researchmentioning

confidence: 99%

Regular graph-based free route flight planning approach

Samolej

Dec

Rzońca

et al. 2021

AEAT

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“…The CDR algorithms based model is constructed in the graphical modelling and analysis software (GMAS) [31] , generating the state space to provide a global perspective on the scenario dynamics and a better understanding of the potential conflict occurrence for risk assessment. It would offer auxiliary supports in the analysis of hectic traffic scenarios, e.g., terminal maneuvering area (TMA) and hot spots [11]. And the airspace capacity would be increased in opening low-altitude urban airspace, while a higher amount of flights would be safely and efficiently managed.…”

Section: Model Formulationmentioning

confidence: 99%

“…However, as a result of the current policy of gradually opening low-altitude airspace in China, potential uncertainties and perturbations may occur in low-altitude airspace traffic management because of increasing airspace density. Each small fixed-wing aircraft must follow its planned fourdimensional (4D) trajectory, which can be defined by a series of sequential waypoints recorded as three-dimensional (3D) spatial information with corresponding timestamps 2 Journal of Advanced Transportation [8][9][10][11][12]. Time and space deviations in one trajectory may affect other 4D trajectories because of the crowded spatiotemporal connectivity between trajectories [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

A Causal Model for Safety Assessment Purposes in Opening the Low-Altitude Urban Airspace of Chinese Pilot Cities

Tang

Yang

2018

Journal of Advanced Transportation

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China has been gradually relaxing its ban on the use of low-altitude airspace across the country. To guarantee the high reliability of air traffic management (ATM), conflict detection and conflict resolution (CDR) approaches are indispensable to maintain safe separation between neighbouring small fixed-wing aircraft. In this study, we analyse a temporal and spatial integrated strategy for safety assessment purposes in opening the low-altitude urban airspace of Chinese pilot cities. First, we present a detailed mathematical description of the proposed algorithms based on a spatial grid partitioning system (SGPS). For our system, a conflict detection (CD) algorithm is designed to determine if two trajectories pass through the same grid space within overlapping time windows. A conflict resolution (CR) algorithm integrates a proposed time scheduling-based technique (TST) and vertical change-based technique (VCT), which operate under predetermined basic principles. Then, based on our novel CDR algorithms, a causal model is constructed in graphical modelling and analysis software (GMAS) to generate a state space that can provide a global perspective on scenario dynamics and better understanding of induced conflict occurrences. Finally, simulation results demonstrate that the proposed approach is practical and efficient.

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“…Previous research has focused on the identification of regions with capacity-demand imbalance and measures to be applied pre-tactically, for example, managing the take-off times of flights to reduce congestion in the airspace (Nosedal et al, 2014(Nosedal et al, , 2015, adjusting dynamically the sectorisation to adjust capacity to demand (Tang et al, 2012), or balancing both modification of trajectories to adjust demand, and opening schemes 3 to adjust sectorisations to demand (Xu et al, 2020b). Further work linked with pre-tactical decision making explored managing the ATFM delay distribution in order to reduce propagation of delay and improve airport slot adherence (Ivanov et al, 2017) and analysing trade-offs between efficiency and fairness in allocating ATFM delay when capacity at the destination airport is reduced, taking into account both flight and passenger indicators (Montlaur and Delgado, 2020).…”

Section: Introductionmentioning

confidence: 99%